To address the limited transparency and control, some prior work allows a user to browse GAN-generated results in an interactive gallery view [1]}; however, such an open-ended exploration is not intended to converge to a specific direction.
Others propose methods to dissect a GAN model [2]} or to perform post hoc extraction of principal components [3]} or semantic controls [4]}.
However, such directions are often pre-defined by algorithms, which do not permit a user to specify directions to generate their own desired characteristics.
